Progress toward hourly global data assimilation using direct readout satellite data

Abstract:

Smaller data latency through direct readout will be crucial for hourly updated regional operational models run currently (e.g., NOAA Rapid Refresh (RAP) and 3-km HRRR) and also for future global hourly updated models. We will report on very preliminary work toward a JPSS project to evaluate the impact of the JPSS direct readout data (CrIS and ATMS) on short-range forecasts. This will be tested within hourly rapidly updating systems (Rapid Refresh - RAP and future rapid-refresh updated cycle for a global model) through the use of overlapping time window and application of GSD-hybrid-ensemble data assimilation. Initially, the hourly data coverage of JPSS direct readout data compared to that from RARS (Regional ATOVS Retransmission Services) will be examined in a real-time environment. Secondly, the channel selection and bias correction will be conducted to prepare for the efficient assimilation of the JPSS radiance data into rapidly updating systems. Progress will be reported toward incorporation into real-time testing of RAP and within a global rapid refresh application.